Jan 27 (Reuters) - Private equity firm Audax Group is exploring a sale of cybersecurity provider BlueCat Networks, which could fetch more than $1.5 billion, according to people familiar with the ...
A new technical paper titled “A Case for Hypergraphs to Model and Map SNNs on Neuromorphic Hardware” was published by researchers at Politecnico di Milano. “Executing Spiking Neural Networks (SNNs) on ...
ABSTRACT: Foot-and-Mouth Disease (FMD) remains a critical threat to global livestock industries, causing severe economic losses and trade restrictions. This paper proposes a novel application of ...
Palo Alto Networks patched a high-severity vulnerability that could allow unauthenticated attackers to disable firewall protections in denial-of-service (DoS) attacks. Tracked as CVE-2026-0227, this ...
Back in December, Elon Musk’s pet chatbot Grok made headlines for casually distributing the private addresses and phone numbers of everyday people, scraping data from public sources with unsettling ...
A new technical paper titled “Hardware Acceleration for Neural Networks: A Comprehensive Survey” was published by researchers at Arizona State University. “Neural networks have become a dominant ...
Main Street Sports Group, the owner of the FanDuel-branded regional sports networks, is reportedly on its death bed. According to a report by Tom Friend in Sports Business Journal, the FanDuel Sports ...
Palo Alto Networks will migrate key internal workloads to Google Cloud as part of a new multibillion-dollar agreement. The deal is an expansion of the companies' existing strategic partnership. Palo ...
Abstract: In recent years, graph convolutional networks (GCNs) have been introduced for hyperspectral image (HSI) classification due to their ability to effectively process the inherent graph ...
ORLANDO, Fla.--(BUSINESS WIRE)--Zero Networks, the cybersecurity company reclaiming microsegmentation to finally deliver on its promise, today announced it raised $55 million in Series C funding. The ...
Abstract: In this paper, to explore the application of depression EEG data in semi-supervised classification, we designed an improved semi-supervised graph convolutional neural network model for ...
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